0% Complete
صفحه اصلی
/
نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون
Detection of Defective Products in Injection Molding Process Using YOLO-NAS
نویسندگان :
Mohammadreza Asadi
1
Seyedeh Sogand Hashemi
2
Mohammad Taghi Sadeghi
3
1- Yazd University
2- Yazd University
3- Yazd University
کلمات کلیدی :
Deep Learning،Defect Detection،Injection Molding،Machine Vision،YOLO
چکیده :
Injection molding is an important manufacturing process with applications spanning various industries. Modern industry demands quality, efficiency, and environmental sustainability. The advanced injection molding inspection systems (IMIS) provide these requirements by real-time monitoring systems executed based on Industry 4.0 technologies such as IoT, machine vision, and artificial intelligence. This paper introduces an IMIS using YOLO-NAS models as one of the state-of-the-art deep neural networks for real-time object detection, to recognize both complete and defective injected products. Upon defective products detection, the system automatically stops the injection process, ensuring operational safety and product quality. Our evaluation of implemented models based on YOLO-NAS variants (i.e. small, medium, large) for injection molding inspection reveals minor performance differences. The results declare that YOLO-NAS models have a reliable performance on defective products detection in an injection molding machine.
لیست مقالات
لیست مقالات بایگانی شده
Virtual Synchronous Generator Controller for Power Quality Enhancement in Microgrids
Delnia Hosseini - Mobin Naderi - Qobad Shafiee - Mehdi Savaghebi - Hassan Bevrani
Robust Inverse Dynamics Control of the Remotely Operated Underwater Vehicle Manipulator
Mahdi Armoon - Marzie Lafouti - Babak Tavassoli - .Hamid D Taghirad
Texture Analysis of Corn-based Snacks with Fast Fourier Transform
José-David Martínez-Velasco - Annamaría Filomena-Ambrosio - Claudia L. Garzón-Castro - Julieta Domínguez-Soberanes - Paolo Visconti - Ramiro Velázquez
طراحی کنترلکننده ترکیبی پیشبین و تناسبی مشتقی برای تعقیب مسیر توسط کوادکوپتر
علیرضا هونجانی - بهرام تارویردی زاده - محمد شهبازی
طراحی کنترلکننده حالت لغزشی تطبیقی زمان محدود مرتبه کسری برای بهبود پایداری توربینهای بادی پایه کششی شناور فراساحلی تحت اغتشاشات وزش باد و امواج دریا
متین جزءاسلامی - مائده نفیسیفر - محمدرضا عسکری سپستانکی - ابوالفضل جلیلوند
کنترل تطبیقی سیستم چندعاملی غیرخطی با نامعینی پارامتری و تاخیر تغییرپذیر با زمان نامعلوم
نجمه زمانی - جواد عسگری - مرضیه کمالی
A comparison study on the dynamic control of OpenMANIPULATOR-X by PD with gravity compensation tuned by oscillation damping based on the phase-trajectory-length concept
Amirhossein Dadbin - Ahmad Kalhor - Mehdi Tale Masouleh
Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control
Mohammad amin Rezaei - Peyman Bagheri - Farzad Hashem zadeh
Mathematical Modeling of the Novel Coronavirus Pandemic in Iran: A Model With Vaccination
Reza Shadi - Ahmad Fakharian - Hamid Khaloozadeh
Min-Max-Based Resilient Consensus of Networked Control Systems
Mohammadreza Hallajiyan - Ali Mohammadi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.5